Senior Manager Product Analytics & Data Science

Senior Manager Product Analytics & Data Science
eCommerce
New York City
$200,000 - $220,000

Are you obsessed with how we can use data to personalize customer experiences and predict behaviors? Do you like to innovate and combine highly advanced analytics techniques with customer-rich data to develop products and services that increase spend and loyalty? If you are a hands-on Product Analytics & Data Science Manager with a highly statistical background in SQL and R/Python, and can build models to predict which products will be the most effective then I have a great opportunity for you to join one the leading analytics teams in the US.

THE COMPANY:

A globally renowned eCommerce business in the heart of New York City that has millions of rows of rich customer engagement data, are looking for an experienced Product Analytics & Data Science leader to come on board to build out their product analytics team, focusing on growth, testing, and product performance, delivering insights into who their customers are, how they engage with the company and creating targeted and efficient communications strategies that will increase new customer acquisition, and reduce retention across all channels.

THE ROLE - Senior Manager Product Analytics & Data Science

As a Senior Manager Product Analytics & Data Science you will be the leader of a multidisciplinary and highly technical team of Data Scientists, User Researchers and Product Analysts who are all technically strong in SQL, and Python/R and answer key business questions about how to personalize, develop and innovate all products and services to ensure customer loyalty and product upsell/cross sell growth. You will:

• Work with the Director of Data Science to set the strategic vision of the advanced analytics and product growth initiatives, prioritizing projects and ensuring that customer personalization and advanced methodologies are at the forefront of all data-driven decisions made
• Be a leader; hands on when needed in this innovation team, where you will be focusing on creating new methodologies using customer-rich data to predict the success of products and how customers engage with the brand online, forecasting their growth and conversion using SQL, Python/ R, and delivering insights and recommendations
• Work with a broad range of hard-to-capture data sets across both online and offline channels to understand customer behaviors, needs, wants and attitudes, turning these into insightful stories that can be used by the product teams to create new personalized products for the individual user

YOUR SKILLS AND EXPERIENCE:

• Degree educated in Math, Statistics, Operational Research or similar numerical discipline, with a Masters preferred but not essential
• Strong technical background in SQL, Python/R with the ability to build highly sophisticated models such as time series, regression, decision trees, random forests, xgboost etc
• Exceptional communicator, with proven capabilities in demonstrating your ability to turn highly complex analyses into stories and customer journeys that can be used by multiple technical and non-technical audiences
• Background within an eCommerce or retail environment is highly desirable, with the ability to apply complex human behaviors and attitudes to enhance the development of new products or services

BENEFITS:

As a Senior Manager Product Analytics & Data Science you can expect to earn up to $220,000 + benefits (depending on your experience)

HOW TO APPLY:

Please register your interest by sending your resume to Jenni Kavanagh via the Apply link on this page

KEYWORDS:

SQL, Python, R, Analytics, Strategy, Data Science, Product, Retail, eCommerce Advanced Analytics, Business, Time-Series, Regression, Statistical Analysis, Predictive Analytics, Model, Modell, Modeling, Modelling, Senior, Manage, Manager, Senior Manager Data Science, Stakeholder Manager, Customer Acquisition, Looker, Retention, Sales, Growth, Advanced Analytics, Product, Tableau, AWS, Scala, Customer Behavior, A/B Testing